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New system to detect cancer-related markers on CTCs

In In The News by Barbara Jacoby

Source: Tokyo Medical and Dental University From: news-medical.net Having biopsies taken and endless tests run is nobody’s idea of a good time, even if it’s necessary for monitoring your health. Now, researchers from Japan report the development of a new technique that could make testing for cancer a lot less invasive. In a study published in September in the Journal …

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Study examines whether having MS plays a role in regular cancer screenings and diagnosis

In In The News by Barbara Jacoby

Source: American Academy of Neurology From: news-medical.net Women with multiple sclerosis (MS) are less likely to have breast cancers detected through cancer screenings than women without MS, according to new research published in the April 27, 2022, online issue of Neurology®, the medical journal of the American Academy of Neurology. Conversely, researchers also found that people with MS are more …

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Digital Breast Tomosynthesis Appears Superior for Invasive Breast Cancer Detection

In In The News by Barbara Jacoby

By: John Schieszer From: cancertherapyadvisor.com Digital breast tomosynthesis (DBT) is more effective than digital 2D mammography for detecting invasive breast cancer, according to research published in The Lancet Oncology. In the TOSYMA trial, researchers compared DBT plus synthesized 2D mammograms (DBT-s2D) with standard 2D full-field digital mammography (2D-FFDM) and found a significantly higher rate of invasive breast cancer detection with …

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Deep-learning based image reconstruction approach may improve detection of breast cancer

In In The News by Barbara Jacoby

Source: Optica From: news-medical.net Researchers have developed a new image reconstruction approach that could contribute to better breast cancer detection. The deep learning algorithm overcomes a major hurdle in multi-modality imaging by allowing images to be recovered in real time. In Optica, Optica Publishing Group’s journal for high-impact research, the researchers described the new algorithm, known as Z-Net, and how …

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FDA Grants Breakthrough Designation for Early-Stage Breast Cancer Detection Blood Test Developed

In In The News by Barbara Jacoby

Source: Datar Cancer Genetics From: prnewswire.com TriNetra™ is a Circulating Tumor Cell detection blood test which is able to identify early-stage Breast Cancer with high accuracy in women above the age of 40 years BOSTON, Nov. 19, 2021 /PRNewswire/ — Datar Cancer Genetics Inc, a leading cancer research company focussed on early detection of cancers today announced that the US Food and …

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MRIs found to be cost effective for detecting breast cancer for women with very dense breasts

In In The News by Barbara Jacoby

Source: Oxford University Press USA From: news-medical.net A new paper in the Journal of the National Cancer Institute, published by Oxford University Press, indicates that MRIs are cost effective for detecting breast cancer for women with very dense breasts detected by mammography. About 10% of women have extremely dense breasts, and current mammography screening guidelines do not recommend additional imaging …

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Bard1 Life Sciences (ASX:BD1) reveals tech’s efficiency in detecting breast cancer

In Clinical Studies News by Barbara Jacoby

By: Samantha Goerling From: themarketherald.com.au Australian diagnostics company Bard1 Life Sciences (BD1) has revealed its SubB2M technology can detect all stages of breast cancer from a blood sample. Research completed by the Griffith University’s Institute for Glycomics found the technology could detect the cancer with 100 per cent specificity and 95 per cent sensitivity. “A non-invasive, accurate and reliable blood test …

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New technology detects breast cancer using tears

In In The News by Barbara Jacoby

Source: Kobe University From: news-medical.net Kobe University and System Instruments Co., Ltd. researchers have developed TearExo®; new technology to detect breast cancer using the exosomes found in tears as biomarkers. Exosomes are a subtype of extracellular vesicles. Research team members included Professor TAKEUCHI Toshifumi (Kobe University Graduate School of Engineering), Project Professor TANINO Hirokazu and Professor SASAKI Ryohei (both of …